{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  ###防止无法显示中文并设置黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  ###用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>RMM1</th>\n",
       "      <th>RMM2</th>\n",
       "      <th>phase</th>\n",
       "      <th>amplitude</th>\n",
       "      <th>final_values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1.634470</td>\n",
       "      <td>1.203040</td>\n",
       "      <td>5</td>\n",
       "      <td>2.029480</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1.602890</td>\n",
       "      <td>1.015120</td>\n",
       "      <td>5</td>\n",
       "      <td>1.897290</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>1.516250</td>\n",
       "      <td>1.085510</td>\n",
       "      <td>5</td>\n",
       "      <td>1.864760</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1.509810</td>\n",
       "      <td>1.035730</td>\n",
       "      <td>5</td>\n",
       "      <td>1.830920</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1974</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1.559060</td>\n",
       "      <td>1.305180</td>\n",
       "      <td>5</td>\n",
       "      <td>2.033260</td>\n",
       "      <td>Final_value:__OLR_&amp;_NCEP_winds</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17460</th>\n",
       "      <td>17460</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>1.058647</td>\n",
       "      <td>-1.269627</td>\n",
       "      <td>3</td>\n",
       "      <td>1.653084</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17461</th>\n",
       "      <td>17461</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>1.039455</td>\n",
       "      <td>-0.817596</td>\n",
       "      <td>4</td>\n",
       "      <td>1.322471</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17462</th>\n",
       "      <td>17462</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>0.981937</td>\n",
       "      <td>-0.722337</td>\n",
       "      <td>4</td>\n",
       "      <td>1.219004</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17463</th>\n",
       "      <td>17463</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>24</td>\n",
       "      <td>0.900615</td>\n",
       "      <td>-0.630580</td>\n",
       "      <td>4</td>\n",
       "      <td>1.099426</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17464</th>\n",
       "      <td>17464</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>0.488374</td>\n",
       "      <td>-0.406457</td>\n",
       "      <td>4</td>\n",
       "      <td>0.635386</td>\n",
       "      <td>Prelim_value:_OLR_&amp;_ACCESS_wind</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17465 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0  year  month  day      RMM1      RMM2  phase  amplitude  \\\n",
       "0               0  1974      6    1  1.634470  1.203040      5   2.029480   \n",
       "1               1  1974      6    2  1.602890  1.015120      5   1.897290   \n",
       "2               2  1974      6    3  1.516250  1.085510      5   1.864760   \n",
       "3               3  1974      6    4  1.509810  1.035730      5   1.830920   \n",
       "4               4  1974      6    5  1.559060  1.305180      5   2.033260   \n",
       "...           ...   ...    ...  ...       ...       ...    ...        ...   \n",
       "17460       17460  2022      3   21  1.058647 -1.269627      3   1.653084   \n",
       "17461       17461  2022      3   22  1.039455 -0.817596      4   1.322471   \n",
       "17462       17462  2022      3   23  0.981937 -0.722337      4   1.219004   \n",
       "17463       17463  2022      3   24  0.900615 -0.630580      4   1.099426   \n",
       "17464       17464  2022      3   25  0.488374 -0.406457      4   0.635386   \n",
       "\n",
       "                          final_values  \n",
       "0       Final_value:__OLR_&_NCEP_winds  \n",
       "1       Final_value:__OLR_&_NCEP_winds  \n",
       "2       Final_value:__OLR_&_NCEP_winds  \n",
       "3       Final_value:__OLR_&_NCEP_winds  \n",
       "4       Final_value:__OLR_&_NCEP_winds  \n",
       "...                                ...  \n",
       "17460  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "17461  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "17462  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "17463  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "17464  Prelim_value:_OLR_&_ACCESS_wind  \n",
       "\n",
       "[17465 rows x 9 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('../pythonhomework6csv.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "##  求月平均\n",
    "def hebingday(df,startyear,endyear):\n",
    "    dftemp1=df.loc[df['year']==startyear].groupby(['month']).mean()\n",
    "    dftemp1=dftemp1.reset_index()\n",
    "    for y_i in np.arange(startyear+1,endyear+1,1):\n",
    "        dftemp=df.loc[df['year']==y_i].groupby(['month']).mean()\n",
    "        dftemp=dftemp.reset_index()\n",
    "        dftemp1=pd.concat([dftemp1,dftemp])\n",
    "    return dftemp1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>year</th>\n",
       "      <th>day</th>\n",
       "      <th>RMM1</th>\n",
       "      <th>RMM2</th>\n",
       "      <th>phase</th>\n",
       "      <th>amplitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>14839.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.240301</td>\n",
       "      <td>1.143472</td>\n",
       "      <td>6.451613</td>\n",
       "      <td>1.576486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>14868.5</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>14.5</td>\n",
       "      <td>-0.402643</td>\n",
       "      <td>0.628380</td>\n",
       "      <td>6.642857</td>\n",
       "      <td>0.894538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>14898.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-0.615814</td>\n",
       "      <td>0.858320</td>\n",
       "      <td>5.161290</td>\n",
       "      <td>2.404735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>14928.5</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>15.5</td>\n",
       "      <td>0.494468</td>\n",
       "      <td>-0.745644</td>\n",
       "      <td>3.733333</td>\n",
       "      <td>1.042428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>14959.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-0.067212</td>\n",
       "      <td>0.217109</td>\n",
       "      <td>4.483871</td>\n",
       "      <td>0.671891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>16878.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>-0.443908</td>\n",
       "      <td>-0.230977</td>\n",
       "      <td>4.548387</td>\n",
       "      <td>1.551213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>16908.5</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>15.5</td>\n",
       "      <td>0.800916</td>\n",
       "      <td>-0.101859</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>1.002244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>16939.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.314870</td>\n",
       "      <td>0.828408</td>\n",
       "      <td>5.354839</td>\n",
       "      <td>1.773082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>16969.5</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>15.5</td>\n",
       "      <td>-0.327610</td>\n",
       "      <td>-0.293515</td>\n",
       "      <td>4.533333</td>\n",
       "      <td>1.132318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>17000.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.651116</td>\n",
       "      <td>0.228639</td>\n",
       "      <td>4.774194</td>\n",
       "      <td>0.826904</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    month  Unnamed: 0    year   day      RMM1      RMM2     phase  amplitude\n",
       "0       1     14839.0  2015.0  16.0  0.240301  1.143472  6.451613   1.576486\n",
       "1       2     14868.5  2015.0  14.5 -0.402643  0.628380  6.642857   0.894538\n",
       "2       3     14898.0  2015.0  16.0 -0.615814  0.858320  5.161290   2.404735\n",
       "3       4     14928.5  2015.0  15.5  0.494468 -0.745644  3.733333   1.042428\n",
       "4       5     14959.0  2015.0  16.0 -0.067212  0.217109  4.483871   0.671891\n",
       "..    ...         ...     ...   ...       ...       ...       ...        ...\n",
       "7       8     16878.0  2020.0  16.0 -0.443908 -0.230977  4.548387   1.551213\n",
       "8       9     16908.5  2020.0  15.5  0.800916 -0.101859  4.100000   1.002244\n",
       "9      10     16939.0  2020.0  16.0  1.314870  0.828408  5.354839   1.773082\n",
       "10     11     16969.5  2020.0  15.5 -0.327610 -0.293515  4.533333   1.132318\n",
       "11     12     17000.0  2020.0  16.0  0.651116  0.228639  4.774194   0.826904\n",
       "\n",
       "[72 rows x 8 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=hebingday(df,2015,2020)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "#读取2015-2020的数据\n",
    "amp = df['amplitude']\n",
    "phase = df['phase']\n",
    "time = pd.date_range('20150101', '20201231', freq='1m')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     1.576486\n",
       "1     0.894538\n",
       "2     2.404735\n",
       "3     1.042428\n",
       "4     0.671891\n",
       "        ...   \n",
       "7     1.551213\n",
       "8     1.002244\n",
       "9     1.773082\n",
       "10    1.132318\n",
       "11    0.826904\n",
       "Name: amplitude, Length: 72, dtype: float64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "amp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2015-01-31', '2015-02-28', '2015-03-31', '2015-04-30',\n",
       "               '2015-05-31', '2015-06-30', '2015-07-31', '2015-08-31',\n",
       "               '2015-09-30', '2015-10-31', '2015-11-30', '2015-12-31',\n",
       "               '2016-01-31', '2016-02-29', '2016-03-31', '2016-04-30',\n",
       "               '2016-05-31', '2016-06-30', '2016-07-31', '2016-08-31',\n",
       "               '2016-09-30', '2016-10-31', '2016-11-30', '2016-12-31',\n",
       "               '2017-01-31', '2017-02-28', '2017-03-31', '2017-04-30',\n",
       "               '2017-05-31', '2017-06-30', '2017-07-31', '2017-08-31',\n",
       "               '2017-09-30', '2017-10-31', '2017-11-30', '2017-12-31',\n",
       "               '2018-01-31', '2018-02-28', '2018-03-31', '2018-04-30',\n",
       "               '2018-05-31', '2018-06-30', '2018-07-31', '2018-08-31',\n",
       "               '2018-09-30', '2018-10-31', '2018-11-30', '2018-12-31',\n",
       "               '2019-01-31', '2019-02-28', '2019-03-31', '2019-04-30',\n",
       "               '2019-05-31', '2019-06-30', '2019-07-31', '2019-08-31',\n",
       "               '2019-09-30', '2019-10-31', '2019-11-30', '2019-12-31',\n",
       "               '2020-01-31', '2020-02-29', '2020-03-31', '2020-04-30',\n",
       "               '2020-05-31', '2020-06-30', '2020-07-31', '2020-08-31',\n",
       "               '2020-09-30', '2020-10-31', '2020-11-30', '2020-12-31'],\n",
       "              dtype='datetime64[ns]', freq='M')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x3600 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 50))\n",
    "fig.suptitle('第一问')\n",
    "#分配子图\n",
    "ax1,ax2,ax3,ax4,ax5 = fig.subplots(5, 1,sharex='col')\n",
    "\n",
    "# 折线\n",
    "ax1.plot(time, amp,color='r',label='折线图')\n",
    "ax1.legend(loc='upper right',fontsize=50)\n",
    "ax1.yaxis.set_label_text('amplitude')\n",
    "# 散点\n",
    "ax2.scatter(time, amp,color='g',label='散点图')\n",
    "ax2.legend(loc='upper right',fontsize=50)\n",
    "ax2.yaxis.set_label_text('amplitude')\n",
    "# 柱状\n",
    "ax3.bar(time, amp,width=3,color='b',label='柱状图')\n",
    "ax3.legend(loc='upper right',fontsize=50)\n",
    "ax3.yaxis.set_label_text('amplitude')\n",
    "# 阶梯\n",
    "ax4.step(time, amp,color='pink',label='阶梯图')\n",
    "ax4.legend(loc='upper right',fontsize=50)\n",
    "ax4.yaxis.set_label_text('amplitude')\n",
    "# 茎叶\n",
    "ax5.stem(time, amp,label='茎叶图')\n",
    "ax5.legend(loc='upper right',fontsize=50)\n",
    "ax5.set_xticks(pd.date_range('20150101',periods=13,freq='6m'))\n",
    "ax5.xaxis.set_label_text('时间')\n",
    "ax5.yaxis.set_label_text('amplitude')\n",
    "plt.xlim(time[0],time[-1])\n",
    "plt.tight_layout()\n",
    "plt.savefig('../pythonhome8.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(16,9))\n",
    "fig.suptitle('第二问')\n",
    "ax=fig.subplots(1, 1)\n",
    "ax.step(time,amp,color='black',label='amplitude')\n",
    "ax.yaxis.set_label_text('amplitude')\n",
    "ax.xaxis.set_label_text('时间')\n",
    "ax.legend(loc='best',fontsize=25)\n",
    "ax.set_ylim(-5,6)\n",
    "ax1=ax.twinx()\n",
    "ax1.plot(time,phase,color='b',label='phase')\n",
    "ax1.set_xticks(pd.date_range('20150101',periods=13,freq='6m'))\n",
    "ax1.yaxis.set_label_text('phase')\n",
    "ax1.legend(loc='upper left',fontsize=25)\n",
    "ax1.set_ylim(0,15)\n",
    "plt.savefig('../pythonhome82.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(16,9))\n",
    "fig.suptitle('第三问')\n",
    "ax=fig.subplots(1, 1)\n",
    "ax.stem(time,amp,linefmt='--',markerfmt='D',bottom=1.5,label='amplitude')\n",
    "ax.yaxis.set_label_text('amplitude')\n",
    "ax.xaxis.set_label_text('时间')\n",
    "ax.legend(loc='best',fontsize=25)\n",
    "ax.set_ylim(-5,6)\n",
    "ax1=ax.twinx()\n",
    "ax1.bar(time,phase,width=3,color='b',label='phase')\n",
    "ax1.set_xticks(pd.date_range('20150101',periods=13,freq='6m'))\n",
    "ax1.yaxis.set_label_text('phase')\n",
    "ax1.legend(loc='upper left',fontsize=25)\n",
    "ax1.set_ylim(0,10)\n",
    "plt.savefig('../pythonhome83.png')"
   ]
  }
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